Systems and Control
Papers filed under eess.SY on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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841 to 900 of 1,084
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell, Guanya Shi, Xichen Shi +4
cs.ROcs.AIcs.LGarXiv:2205.06908v22022Legged Locomotion in Challenging Terrains using Egocentric Vision
Ananye Agarwal, Ashish Kumar, Jitendra Malik +1
cs.ROcs.AIcs.CVarXiv:2211.07638v12022Intelligent Time-Adaptive Transient Stability Assessment System
James J. Q. Yu, David J. Hill, Albert Y. S. Lam +2
eess.SYarXiv:1610.08235v22016Minimal Controllability Problems
Alex Olshevsky
math.OCeess.SYarXiv:1304.3071v72013Generalization and Exploration via Randomized Value Functions
Ian Osband, Benjamin Van Roy, Zheng Wen
stat.MLcs.AIcs.LGarXiv:1402.0635v32014Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends
Jose-Carlos Gamazo-Real, Ernesto Vazquez-Sanchez, Jaime Gomez-Gil
eess.SYarXiv:2402.05263v12024HumanPlus: Humanoid Shadowing and Imitation from Humans
Zipeng Fu, Qingqing Zhao, Qi Wu +2
cs.ROcs.AIcs.CVarXiv:2406.10454v12024OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
Tairan He, Zhengyi Luo, Xialin He +6
cs.ROcs.CVcs.LGarXiv:2406.08858v12024Physics-Informed Neural Networks for Power Systems
George S. Misyris, Andreas Venzke, Spyros Chatzivasileiadis
eess.SYcs.LGeess.SParXiv:1911.03737v32019A mathematical theory of resources
Bob Coecke, Tobias Fritz, Robert W. Spekkens
quant-phcs.ITeess.SYarXiv:1409.5531v32014String stability and a delay-based spacing policy for vehicle platoons subject to disturbances
Bart Besselink, Karl H. Johansson
eess.SYmath.OCarXiv:1702.01031v12017Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
cs.LGeess.SYphysics.comp-pharXiv:1909.12077v52019Adaptive Power System Emergency Control using Deep Reinforcement Learning
Qiuhua Huang, Renke Huang, Weituo Hao +3
cs.LGeess.SYstat.MLarXiv:1903.03712v22019Prescribed-Time Control and Its Latest Developments
Hefu Ye, Yongduan Song, Frank L. Lewis
eess.SYarXiv:2210.12712v12022On the Critical Coupling for Kuramoto Oscillators
Florian Dorfler, Francesco Bullo
math.DSeess.SYmath-pharXiv:1011.3878v22010Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs
Angelia Nedic, Alex Olshevsky
math.OCeess.SYarXiv:1406.2075v22014Safe Reinforcement Learning Using Robust MPC
Mario Zanon, Sébastien Gros
eess.SYarXiv:1906.04005v22019Adaptive Adjustment of Noise Covariance in Kalman Filter for Dynamic State Estimation
Shahrokh Akhlaghi, Ning Zhou, Zhenyu Huang
eess.SYarXiv:1702.00884v12017A differential Lyapunov framework for contraction analysis
Fulvio Forni, Rodolphe Sepulchre
eess.SYmath.DGmath.DSarXiv:1208.2943v42012Machine Learning for Electronic Design Automation: A Survey
Guyue Huang, Jingbo Hu, Yifan He +13
eess.SPcs.AIcs.LGarXiv:2102.03357v22021Stability robustness of a feedback interconnection of systems with negative imaginary frequency response
A. Lanzon, I. R. Petersen
math.OCeess.SYarXiv:1401.7739v12014Generalized optimal sub-pattern assignment metric
Abu Sajana Rahmathullah, Ángel F. García-Fernández, Lennart Svensson
eess.SYcs.CVarXiv:1601.05585v72016Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics
Felix Berkenkamp, Andreas Krause, Angela P. Schoellig
cs.ROcs.LGeess.SYarXiv:1602.04450v32016A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network
Zijian Zhang, Linglong Dai
eess.SPcs.ITcs.PFarXiv:2002.03744v32020A Review of Deep Reinforcement Learning for Smart Building Energy Management
Liang Yu, Shuqi Qin, Meng Zhang +3
eess.SYeess.SParXiv:2008.05074v32020Storage Size Determination for Grid-Connected Photovoltaic Systems
Yu Ru, Jan Kleissl, Sonia Martinez
math.OCeess.SYarXiv:1109.4102v22011On the Definition of Cyber-Physical Resilience in Power Systems
Reza Arghandeh, Alexandra von Meier, Laura Mehrmanesh +1
eess.SYarXiv:1504.05916v22015Preparing for the Unknown: Learning a Universal Policy with Online System Identification
Wenhao Yu, Jie Tan, C. Karen Liu +1
cs.LGcs.ROeess.SYarXiv:1702.02453v32017Extreme Parkour with Legged Robots
Xuxin Cheng, Kexin Shi, Ananye Agarwal +1
cs.ROcs.AIcs.CVarXiv:2309.14341v12023Designing and Implementing Future Aerial Communication Networks
Sathyanarayanan Chandrasekharan, Karina Gomez, Akram Al-Hourani +8
cs.NIeess.SYarXiv:1602.05318v12016Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework
Ugo Rosolia, Francesco Borrelli
eess.SYcs.LGmath.OCarXiv:1609.01387v72016Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou +6
cs.AIcs.LGeess.SYarXiv:2104.02214v12021A Review of Pseudospectral Optimal Control: From Theory to Flight
I. M. Ross, M. Karpenko
math.OCcs.AIeess.SYarXiv:2511.20843v12025Volatility of Power Grids under Real-Time Pricing
Mardavij Roozbehani, Munther A Dahleh, Sanjoy K Mitter
eess.SYmath.DSmath.OCarXiv:1106.1401v12011Summaries:한국어A Lyapunov-like Characterization of Predefined-Time Stability
Esteban Jiménez-Rodríguez, Aldo Jonathan Muñoz-Vázquez, Juan Diego Sánchez-Torres +2
eess.SYarXiv:1910.14604v12019Multi-Agent Distributed Optimization via Inexact Consensus ADMM
Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang
eess.SYmath.OCarXiv:1402.6065v22014Opinion Dynamics in Social Networks with Hostile Camps: Consensus vs. Polarization
Anton V. Proskurnikov, Alexey Matveev, Ming Cao
eess.SYmath.OCarXiv:1508.05034v12015Tutorial on dynamic average consensus: the problem, its applications, and the algorithms
Solmaz S. Kia, Bryan Van Scoy, Jorge Cortes +3
eess.SYarXiv:1803.04628v22018System Design and Control of an Apple Harvesting Robot
Kaixiang Zhang, Kyle Lammers, Pengyu Chu +2
cs.ROeess.SYarXiv:2010.11296v12020A Review of Graph Neural Networks and Their Applications in Power Systems
Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai +2
cs.LGcs.AIeess.SYarXiv:2101.10025v22021Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches
Wayes Tushar, Chau Yuen, Hamed Mohsenian-Rad +3
eess.SPcs.GTeess.SYarXiv:1804.00962v12018Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization
Mushu Li, Nan Cheng, Jie Gao +4
cs.NIeess.SPeess.SYarXiv:2007.15105v12020Control Barrier Functions for Systems with High Relative Degree
Wei Xiao, Calin Belta
eess.SYcs.ROarXiv:1903.04706v22019A modified sequence domain impedance definition and its equivalence to the dq-domain impedance definition for the stability analysis of AC power electronic systems
Atle Rygg, Marta Molinas, Zhang Chen +1
eess.SYarXiv:1605.00526v12016TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection
Su Wang, Yaochen Li, Min Yang +3
cs.CVcs.AIcs.ROarXiv:2608.27282v12026Energy as a Concealable State in Adversarial UAV Patrolling: Formulation, an Energy-Security Threshold, and the Limits of Self-Play
Sai Krishna Reddy Mareddy
eess.SYarXiv:2608.26518v12026Comparative Assessment of Frequency Scans using EMT and RMS Models
Clea Bürgel, Gustavo Valverde, Gabriela Hug
eess.SYarXiv:2608.26851v12026Co-Optimized Generation, Transmission, and Storage Expansion: System Value and Optimal Duration of Pumped-Storage Hydropower
Rafael Benchimol Klausner, Rafael Kelman
math.OCeess.SYarXiv:2608.27222v12026Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
Xin Chen, Guannan Qu, Yujie Tang +2
cs.LGcs.AIeess.SYarXiv:2102.01168v52021Cooperative look-ahead control for fuel-efficient and safe heavy-duty vehicle platooning
Valerio Turri, Bart Besselink, Karl H. Johansson
eess.SYarXiv:1505.00447v12015Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Qiang Liu, Lihong Li, Ziyang Tang +1
cs.LGcs.AIeess.SYarXiv:1810.12429v12018Fusing Physics-based and Deep Learning Models for Prognostics
Manuel Arias Chao, Chetan Kulkarni, Kai Goebel +1
eess.SYarXiv:2003.00732v22020Baidu Apollo EM Motion Planner
Haoyang Fan, Fan Zhu, Changchun Liu +7
cs.ROcs.AIcs.LGarXiv:1807.08048v12018Nonlinear System Identification: A User-Oriented Roadmap
Johan Schoukens, Lennart Ljung
eess.SYarXiv:1902.00683v12019Decentralized Multitask Learning over Learned Task Graphs
Zirui Wan, Stefan Vlaski
cs.LGeess.SPeess.SYarXiv:2608.26989v12026Event-Triggered State Observers for Sparse Sensor Noise/Attacks
Yasser Shoukry, Paulo Tabuada
math.OCcs.CRcs.ITarXiv:1309.3511v32013User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions
Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi +2
cs.ITcs.NIeess.SParXiv:2104.14589v22021Controlling complex networks: How much energy is needed?
Gang Yan, Jie Ren, Ying-Cheng Lai +2
physics.soc-phcs.SIeess.SYarXiv:1204.2401v22012Decision making under uncertainty in energy systems: state of the art
Alireza Soroudi, Turaj Amraee
eess.SYarXiv:1911.10905v12019Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method
Tsung-Hui Chang, Angelia Nedić, Anna Scaglione
eess.SYmath.OCarXiv:1304.5590v22013